Tan Van Duong
Papers
1
Total Citations
6
H-Index
1
About
Tan Van Duong is a robotics researcher whose work focuses on autonomous exploration and path planning for aerial robotic systems. His primary contributions lie in developing efficient sampling-based exploration strategies, particularly for Unmanned Aerial Vehicles (UAVs) and Micro Aerial Vehicles (MAVs) operating in three-dimensional outdoor environments. Duong’s most-cited paper, "An Enhanced Sampling-Based Method with Modified Next-Best View Strategy For 2D Autonomous Robot Exploration" (2023, 6 citations), introduces a novel approach that optimizes robot navigation by selecting optimal destinations and paths through a refined utility function. This method significantly improves coverage of unexplored areas, addressing key challenges in autonomous exploration such as efficiency and adaptability. While his citation count reflects an emerging career, his work demonstrates a clear impact on advancing real-time robotic decision-making in complex, unstructured settings. Duong’s research is particularly relevant for applications in search-and-rescue, environmental monitoring, and autonomous inspection, where reliable exploration is critical. His contributions to sampling-based planning and next-best view strategies position him as a promising voice in the field of field robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1